Two-phase mass transporting under various operating conditions during mode switching of unitized regenerative fuel cell with non-uniform flow channels

模式(计算机接口) 工作(物理) 极化(电化学) 燃料电池 体积流量 机械 材料科学 计算机科学 核工程 电气工程 工程类 机械工程 化学 物理 化学工程 物理化学 操作系统
作者
Jia Song,Hang Guo,Fang Ye,Chong Fang
出处
期刊:International Journal of Green Energy [Informa]
卷期号:21 (7): 1425-1433 被引量:3
标识
DOI:10.1080/15435075.2023.2253887
摘要

ABSTRACTThe electrolyzing and fuel cell (FC) modes appear in a unitized regenerative FC. Understanding the operating condition impacts on the dynamic behaviors during mode-switching procedure facilitates better handling of cell working states and increasing the performance behaviors. In the present paper, a two-dimensional transient numerical model is employed to discuss the influence of operating conditions on two-phase species distributions when switching the cell mode into FC. According to the numerical results, it is concluded that when the cell switches from electrolytic cell to the mode of FC, reducing the operating cell voltage can significantly improve the cell performance. At the same time, concentration polarization and temperature heterogeneity are serious. Increasing the gas inlet velocity can improve the cell performance. Providing the reaction gas with the same concentration as the FC mode in advance can improve the temperature uniformity and cell current density values when starting switching the mode but hardly impacts the parameter value and currents after stabilization.KEYWORDS: Dynamic responsegas purgingmode switchingtwo-phase mass transferunitized regenerative fuel cell AcknowledgementsThe National Natural Science Foundation of China [Grant No. 51976004] financially supports the present work, and the authors are grateful to Ms. Hai Xin YI for typesetting.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the National Natural Science Foundation of China [51976004].
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
专心搞学术完成签到,获得积分10
刚刚
FFF发布了新的文献求助10
刚刚
李小胖发布了新的文献求助20
刚刚
李健应助故意的绿竹采纳,获得10
刚刚
勤恳的断秋完成签到 ,获得积分10
1秒前
VDC发布了新的文献求助10
1秒前
1秒前
jasmine970000发布了新的文献求助100
1秒前
酷波er应助camellia采纳,获得10
2秒前
Zoe发布了新的文献求助10
2秒前
2秒前
2秒前
啊实打实完成签到,获得积分10
2秒前
3秒前
3秒前
4秒前
参上完成签到,获得积分10
5秒前
mingjie完成签到,获得积分10
5秒前
yam001完成签到,获得积分10
5秒前
aaaaa发布了新的文献求助10
5秒前
6秒前
牧紫菱完成签到,获得积分10
6秒前
7秒前
研友_RLN0vZ发布了新的文献求助10
7秒前
7秒前
7秒前
神勇的雅香应助001采纳,获得10
8秒前
研友_V8RDYn完成签到,获得积分10
8秒前
zzznznnn发布了新的文献求助10
9秒前
10秒前
11秒前
11秒前
FFFFFFF应助晓军采纳,获得10
11秒前
wanci应助艺玲采纳,获得10
11秒前
jfc完成签到 ,获得积分10
11秒前
香蕉觅云应助月白采纳,获得10
11秒前
思源应助mmx采纳,获得10
11秒前
Diaory2023完成签到 ,获得积分0
11秒前
雪小岳完成签到,获得积分10
12秒前
李小明完成签到,获得积分10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762